# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# NOTE: This file is auto generated by the elixir code generator program.
# Do not edit this file manually.

defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagCorpus do
  @moduledoc """
  A RagCorpus is a RagFile container and a project can have multiple RagCorpora.

  ## Attributes

  *   `corpusStatus` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CorpusStatus.t`, *default:* `nil`) - Output only. RagCorpus state.
  *   `createTime` (*type:* `DateTime.t`, *default:* `nil`) - Output only. Timestamp when this RagCorpus was created.
  *   `description` (*type:* `String.t`, *default:* `nil`) - Optional. The description of the RagCorpus.
  *   `displayName` (*type:* `String.t`, *default:* `nil`) - Required. The display name of the RagCorpus. The name can be up to 128 characters long and can consist of any UTF-8 characters.
  *   `name` (*type:* `String.t`, *default:* `nil`) - Output only. The resource name of the RagCorpus.
  *   `updateTime` (*type:* `DateTime.t`, *default:* `nil`) - Output only. Timestamp when this RagCorpus was last updated.
  *   `vectorDbConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagVectorDbConfig.t`, *default:* `nil`) - Optional. Immutable. The config for the Vector DBs.
  *   `vertexAiSearchConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1VertexAiSearchConfig.t`, *default:* `nil`) - Optional. Immutable. The config for the Vertex AI Search.
  """

  use GoogleApi.Gax.ModelBase

  @type t :: %__MODULE__{
          :corpusStatus =>
            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CorpusStatus.t() | nil,
          :createTime => DateTime.t() | nil,
          :description => String.t() | nil,
          :displayName => String.t() | nil,
          :name => String.t() | nil,
          :updateTime => DateTime.t() | nil,
          :vectorDbConfig =>
            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagVectorDbConfig.t() | nil,
          :vertexAiSearchConfig =>
            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1VertexAiSearchConfig.t() | nil
        }

  field(:corpusStatus, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CorpusStatus)
  field(:createTime, as: DateTime)
  field(:description)
  field(:displayName)
  field(:name)
  field(:updateTime, as: DateTime)

  field(:vectorDbConfig,
    as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagVectorDbConfig
  )

  field(:vertexAiSearchConfig,
    as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1VertexAiSearchConfig
  )
end

defimpl Poison.Decoder, for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagCorpus do
  def decode(value, options) do
    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagCorpus.decode(value, options)
  end
end

defimpl Poison.Encoder, for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1RagCorpus do
  def encode(value, options) do
    GoogleApi.Gax.ModelBase.encode(value, options)
  end
end
